Reviews

Unveiling "Continuous Diffusion for Categorical Data Estimation for LLMs"

The CDCD framework harmoniously integrates continuous and discrete data generation methodologies, capitalizing on their respective strengths

Exploring Geometric Deep Learning and its Impactful Applications

The key idea behind geometric deep learning is to develop neural network architectures that can operate directly on geometric data.

Understanding CLIP

The reason why CLIP is so effective in zero-shot learning is because of the contrastive learning approach to jointly train a neural network.

Cost-efficient method to predict 3D hemodynamics

The deep learning methods are inexpensive compare to modeling a cardiovascular hemodynamic system.

AlphaFold

On 8 November 2020, Deepmind of Google an AI created that could plausibly understand the biological machines — Proteins.

Optimization Review

A Note on Bayesian Optimisation

Sometime during the 1740s, Reverend Thomas Bayes made an ingenious statistical discovery, an idea, a formula that had changed the world

Pruning Deep Neural Networks

A deep neural network consists of a large number of parameters, it may be due to the fact that the data is complicated